Books Chapters

• Chandra: re-inventing an uncle in S. Chandrasekhar: man of science, Radhika Ramnath, Ed., New Delhi: Harper Collins Publishers, pp. 138 - 146.
• Foreword: Overture to a study of emotions , in States of Sentiment: Exploring the Cultures of Emotion, Pramod K. Nayar, Ed., New Delhi: Orient BlackSwan
• Scripting Sociology of science: Between knowledge and democracy in India in Doing sociology in India: Genealogies, locations and practices, Sujata Patel, Ed., New Delhi: Oxford University Press, pp. 290-313.
• Low power techniques for greener hardware in Handbook of Research on Green ICT: Technology Business and Social Perspectives Bhuvan Unhelkar Ed. Hershey: Information Science Reference pp. 513-522. Doi: 10.4018/978-1-60960-472-1.ch804
• Venkataraman, Hrishikesh and Muntean, Gabriel-Miro ClusterDAM: Clustering Mechanism for Delivery of Adaptive Multimedia content in Two-Hop Wireless Net... Machine Learning and Systems Engineering, (LNEE vol. 68) Sio-Iong Ao, Burghard Rieger and Mahyar A. Amouzegar Eds. Berlin: Springer, 2010, pp. 385-396.
• Spoken Keyword Retrieval Using Source and System Feature in Pattern Recognition and Machine Intelligence. PReMI 2017, Lecture Notes in Computer Science, vol 10597., Shankar B., Ghosh K., Mandal D., Ray S., Zhang D., Pal S. (eds), Springer, Cham pp. 333-341. doi: 10.1007/978-3-319-69900-4_42
• For a few pots of water in In Search of Economic Alternatives For Gender and Social Justice: Voices From India, Christa Wichterich Ed. Belgium: WIDE pp. 54-59.
• Hammerstrom, Dan and Zaveri, Mazad S. CMOL/CMOS implementations of bayesian inference engine: Digital and mixed-signal architectures and p... CMOS Processors and Memories Krzysztof Iniewski Ed. Berlin: Springer, 2010, pp. 97-238.
• Effectiveness of Mel Scale-Based ESA-IFCC Features for Classification of Natural vs. Spoofed Speech in Pattern Recognition and Machine Intelligence. PReMI 2017, Lecture Notes in Computer Science, vol 10597., Shankar B., Ghosh K., Mandal D., Ray S., Zhang D., Pal S. (eds), Springer, Cham pp. 308-316. doi: 10.1007/978-3-319-69900-4_39
• Brain Tumor Segmentation from Multimodal MR Images Using Rough Sets in Computer Vision, Graphics, and Image Processing. ICVGIP 2016, Lecture Notes in Computer Science, vol 10481., Mukherjee S. et al. (eds), Springer, Cham pp. 133-144. doi: 10.1007/978-3-319-68124-5_12